Abstract: Adjusting the brightness of lights plays an important role in designing quality of interior layout and rendering effect of interior scene.Usually,professionals are required to adjust lighting brightness manually and skillfully.Thus,a novel method for optimizing bedroom lighting brightness is presented in this paper.First,the maximum lighting entropy(MLE)in 3D is defined for bedroom lighting brightness based on the image grayscale entropy(IGE)in 2D;this new mathematical model is built to evaluate the quality of bedroom lighting brightness.Then,the simulated annealing algorithm is employed to pursue the optimal lighting brightness of MLE for obtaining the best bedroom lighting effect.Finally,the neural image assessment algorithm recommended by Google AI is used to verify the correctness and effectiveness of our method through various bedroom cases.This method can also be extensively applied in other interior lighting such as living rooms and restaurants.